Zobrazeno 1 - 10
of 833
pro vyhledávání: '"YOLOX"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The continuous advancement of autonomous driving technology imposes higher demands on the accuracy of target detection in complex environments, particularly when traffic targets are occluded. Existing algorithms still face significant challe
Externí odkaz:
https://doaj.org/article/5b88c25ebbeb4176bd2b9b965300e346
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract To addresse the problem of poor detection accuracy or even false detection of wildlife caused by rainy environment at night. In this paper, a wildlife target detection algorithm based on improved YOLOX-s network is proposed. Our algorithm co
Externí odkaz:
https://doaj.org/article/f8501e1dff234572809618ee047e8464
Publikováno v:
European Journal of Remote Sensing, Vol 57, Iss 1 (2024)
In the filed of remote sensing, arbitrary-oriented object detection methods has gained great attention, benefiting from the accurate detection ability of dense objects. However, the existing methods, which are designed based on ResNet, are not fast e
Externí odkaz:
https://doaj.org/article/801ba183fb4443eaaa5086248b101cf5
Publikováno v:
Systems Science & Control Engineering, Vol 12, Iss 1 (2024)
Grape cluster detection is a crucial step in the visual tasks of automated grape harvesting. Background and occlusion lead to difficulty in detecting grape clusters under natural environments. Some improvements have been proposed to solve this issue.
Externí odkaz:
https://doaj.org/article/1d5b39bbf71249079eeedaa8fc430f9a
Publikováno v:
Information Processing in Agriculture, Vol 11, Iss 2, Pp 202-216 (2024)
In unstructured environments, dense grape fruit growth and the presence of occlusion cause difficult recognition problems, which will seriously affect the performance of grape picking robots. To address these problems, this study improves the YOLOX-T
Externí odkaz:
https://doaj.org/article/301376e520204ccdaa38541423d209c5
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 27, Iss 2, Pp 268-276 (2024)
UAV (Unmanned Aerial Vehicle) infrared object detection is crucial in pedestrian monitoring and traffic dispatch, which detects and locates objects in infrared images. In light of issues such as unnoticeable texture features and limited resolution of
Externí odkaz:
https://doaj.org/article/749062adbdab44ddab62b20d3eb3721f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Tunnel cracks are thin and narrow linear targets, and their pixel proportions in images are usually very low, less than 6%; therefore, a method is needed to better detect small crack targets. In this study, a crack detection method based on
Externí odkaz:
https://doaj.org/article/37b80980ffce42788912795a13b6ccbd
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
The aurora arc is a separate auroral structure from the aurora oval, whose location and morphology are related to various solar-terrestrial circumstances. However, because of the low occurring frequency of aurora arc and the lack of the automatic ide
Externí odkaz:
https://doaj.org/article/cb0e4791207644c49604c3cbae88e528
Publikováno v:
Frontiers in Built Environment, Vol 10 (2024)
Manhole cover damage poses significant threats to road safety and infrastructure integrity, necessitating timely detection and repair. To address this, we introduce an enhanced YOLOX model integrated with ECA (High Efficiency Channel Attention) modul
Externí odkaz:
https://doaj.org/article/9f3215aa6f7344c88df0f508d1197893
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 35, Iss 1, Pp 1-13 (2024)
Abstract Earthquakes pose significant risks in Taiwan, necessitating effective risk assessment and preventive measures to reduce damage. Obtaining complete building structure data is crucial for the accurate evaluation of earthquake-induced losses. H
Externí odkaz:
https://doaj.org/article/0a6e370bd4af4806851949985cd28185